Year 2023

• Active Control of Highly Autocorrelated Machinery Noise in Multivariate Nonminimum Phase Systems

  Publication

  • M. Meller
  • A. Lasota

  - CIRCUITS SYSTEMS AND SIGNAL PROCESSING - Year 2023

  In this paper, a novel multivariate active noise control scheme, designed to attenuate disturbances with high autocorrelation characteristics and preserve background signals, is proposed. The algorithm belongs to the class of feedback controllers and, unlike the popular feedforward FX-LMS approach, does not require availability of a reference signal. The proposed approach draws its inspiration from the iterative learning control...

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Year 2022

• A Control Theoretical Approach to Spectral Factorization is Unstable

  Publication

  • M. Meller
  • A. Lasota

  - CIRCUITS SYSTEMS AND SIGNAL PROCESSING - Year 2022

  Local stability analysis of a recently proposed recursive feedback-based approach to spectral factorization is performed. The method is found not to give stability guarantees. Interestingly enough, its global behavior often allows one to obtain reasonable approximations of spectral factorizations if a suitable stopping criterion is employed.

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Year 2020

• Iterative learning approach to active noise control of highly autocorrelated signals with applications to machinery noise

  Publication

  • A. Lasota
  • M. Meller

  - IET Signal Processing - Year 2020

  This paper discusses the design and application of iterative learning control (ILC) and repetitive control (RC) for high modal density systems. Typical examples of these systems are structural and acoustical systems considered in active structural acoustic control (ASAC) and active noise control (ANC) applications. The application of traditional ILC and RC design techniques, which are based on a parametric system model, on systems...

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Year 2017

• On autoregressive spectrum estimation using the model averaging technique

  Publication

  • M. Meller
  • M. Niedźwiecki
  • D. Chojnacki
  • A. Lasota

  - Year 2017

  The problem of estimating spectral density of a nonstationary process satisfying local stationarity conditions is considered. The proposed solution is a two step procedure based on local autoregressive (AR) modeling. In the first step Bayesian-like averaging of AR models, differing in order, is performed. The main contribution of the paper is development of a new final-prediction-error-like statistic, which can be used to select...

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Year 2014

• Modelowanie dynamiki pojazdu w badaniach na hamowni silnikowej

  Publication

  • A. Lasota
  • A. Wrona
  • J. Merkisz

  - Logistyka - Year 2014

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• Projekt i implementacja rejestratora OBD do rejestracji wielkości dla potrzeb badania infrastruktury drogowej

  Publication

  • A. Lasota
  • Ł. Borawski
  • T. Kamiński

  - Logistyka - Year 2014

  Opisany w artykule rejestrator OBD jest cyfrowym urządzeniem elektronicznym, które może w czasie rzeczywistym gromadzić dane związane z pojazdem i przechowywać je w celu późniejszego przetwarzania dla celów badawczych. Urządzenie takie może posłużyć do analizy przejazdu pod względem dynamiki ruchu, ekonomii jazdy, a nawet pomóc w zapobieganiu wypadkom samochodowym i ograniczać ich skutki [4][5]. W artykule opisano proces opracowania...

• Projekt i implementacja rejestratora parametrów pojazdu

  Publication

  • A. Lasota
  • Ł. Borawski

  - Logistyka - Year 2014

  Projektowany rejestrator jest cyfrowym urządzeniem elektronicznym, które może w czasie rzeczywistym zbierać dane o stanie pojazdu, a także przechowywać je do późniejszej obróbki. Urządzenie takie może posłużyć do analizy przejazdu pod względem dynamiki czy ekonomii jazdy, a nawet pomóc w zapobieganiu wypadkom samochodowym i radzeniu sobie z ich skutkami [4][5]. W poniższym artykule opisano proces tworzenia rejestratora w oparciu...